Job Guarantee
AI Tools for Engineers Bootcamp
Become the 10x Engineer Companies Want to Hire
You already know how to code. Master AI tools like Claude Code and Cursor, and the workflows to ship 10x faster in 4 weeks.
4.8/5 Rating
Online
Format
04 Weeks
Part-time track
15–20h/w
Time Commitment
1+ yr
Engineering experience
Engineers at top companies join Metana
What actually changes after 4 weeks
Before
Where most engineers are stuck
After Graduating
Where you'll be in 4 weeks
You're not behind because AI is smarter than you.
You're behind because someone else is using it better.
The real problem
You’ve tried Cursor. You’ve pasted code into ChatGPT. Sometimes it worked. Sometimes it left you fixing garbage for hours.
Meanwhile, someone on your team ships a full feature while you’re still setting things up. Someone in your interview loop talks about running 10 Claude code agents like it’s normal, and you just nod.
This isn’t about intelligence. It’s about how you work.
Most engineers are using AI now. But a lot of them don’t trust it, or don’t know when to rely on it.
The ones getting hired are different. They know when to use AI, when to ignore it, and how to move fast without breaking things.
That's the gap
That's what this bootcamp fixes.
AI will write 99% of your code.
Your value comes from how you handle agents. Which tools you reach for, when to use them, and when to ignore them. Staying on the edge, knowing what’s shipping every week, and picking the right thing for the job. That’s the engineer companies are paying for in 2026.
While in the bootcamp
Week 1-4
After graduating
Day 29 >
Three steps. Four weeks. One serious upgrade.
Book a call (15 minutes)
Quick chat about your background, your stack, and what you want to ship next. If we're not the right fit, we'll say so. No hard sell.
Get accepted
We confirm you can write code (you can) and that you're ready to put in the work. About 7 in 10 applicants get in.
Build for 4 weeks,
then ship
Part-time: 15–20 hrs/week for 4 weeks. Keep your day job. Your coach stays with you until you're shipping AI workflows at work or signing a new offer.
What you'll learn — week by week
This isn’t a video course. You’ll build, break, get feedback, fix, and ship. Every week ends with a real project in your GitHub.
Cursor, Claude Code, GitHub Copilot, Windsurf. How senior engineers actually use these — codebase-wide edits, inline refactoring, prompt patterns that produce code worth merging. Plus: prompting like an engineer with real context, constraints, edge cases, and acceptance criteria across OpenAI, Anthropic, Gemini, and open-source models.
You'll build: Refactor a messy legacy codebase in days — same scope that took the original team a quarter.
Generate tests. Catch logic gaps. Review AI output like a staff engineer — spotting weak abstractions, flaky tests, security issues, and fake confidence before they turn into tech debt.
You'll build: A test automation pipeline that writes, runs, and reports on tests across a real codebase.
The part most 'AI courses' skip. Build retrieval systems that work in production. Build agents that complete tasks without breaking. Tool use, planning loops, MCP servers, and when agents are the wrong answer.
You'll build: A RAG system over a messy corpus with evals that prove it works. An agent that runs unattended for 24 hours.
Prototyping is easy. Shipping is hard. Observability (Langfuse, Helicone), evals (Braintrust, Promptfoo), caching, fallbacks, rate limits. Then build one serious capstone end-to-end and present to a panel of hiring engineers from our partner network.
You'll build: Your own product, live URL, real users — plus interview loop kicks off.
Get hired after graduating, or get your tuition back.
We put our money on this. Here’s exactly how it works — read it before you apply
You're currently unemployed at enrollment
The tuition-back guarantee is for engineers who are out of work and need a job. If you’re currently employed, see the note below — we still help you switch roles.
You graduate & follow the job-search plan
Complete all 4 weekly projects and the capstone, apply to a set number of roles per week, attend coaching sessions, and use the frameworks we give you.
No qualifying offer? 100% refund
If you don’t have a signed offer for a qualifying software engineering role within the agreed window, we refund every dollar of tuition.
Already employed and want a new role? The tuition-back guarantee doesn’t apply, but our career team still works with you — introductions to hiring partners, interview prep, salary negotiation, and a coach who stays with you until you sign your next offer.
Plus a 3-day money-back period. If the program isn’t a fit within 3 days of your cohort start date, email us and we refund you in full — no questions asked.
Why we can put our money on this: our placement coaches are paid based on your outcomes, not ours. Their incentive is your signed offer letter.
Full eligibility terms are published on our terms page. A school is not an employment agency, so we want you to know exactly what you’re signing up for before you apply.
Is this the right program for you?
This is built for you if…
You already know how to code and you want to:
Don't apply if…
We'll be honest — this isn't for everyone:
Teaching yourself vs. doing this bootcamp
Tutorials show tricks. This teaches a system. Tutorials give information. This gives feedback.
The stack hiring managers ask about right now
We teach tools as part of workflows, not party tricks. Tools change every six months. Engineering judgment doesn’t.
IDE & coding
Cursor
Claude Code
Windsurf
GitHub Copilot
Cline
Aider
Models & APIs
OpenAI
Anthropic
Gemini
Llama
Mistral
Groq
OpenRouter
Frameworks
LangChain
LangGraph
LlamaIndex
Vercel AI SDK
Pydantic
Vector & data
pgvector
Pinecone
Weaviate
Supabase
Agents & automation
MCP servers
n8n
Browserbase
Eval & observability
Braintrust
Langfuse
Helicone
Promptfoo
You don't learn AI alone. You ship with a crew.
Claude Code Max — on us
Every student gets 1 month of Claude Code Max ($200 value) included. No credit card. Burn tokens like the pros do.
Token-burn leaderboard
We track who’s actually shipping. Weekly leaderboard of agent runs, tokens burned, and PRs merged. Friendly competition, real receipts.
Private engineer community
Slack of working engineers and alumni. Drop your stack traces, share your prompts, get unstuck in minutes — not days.
This week's burn
Live
1
Emily S.
84.2M
+12.4M
2
James T.
71.8M
+9.1M
3
Grace K.
63.5M
+7.7M
4
?
You?
-
Tokens burned across Claude Code agents this week
This week's burn
LIVE
1
Priya S.
84.2M
+12.4M
2
Marcus T.
71.8M
+9.1M
3
Yuki K.
63.5M
+7.7M
4
?
You?
-
Tokens burned across Claude Code agents this week
$5,500. Or $0 if you don't get hired.
Two ways to pay. All include the full program, career coaching, and the job guarantee.
Every plan includes
Pick your start date
Part-time, 4 weeks · evenings + weekends · 15–20 hrs/week
Frequently Asked Questions
AI Training for Developers is a 4-week live bootcamp by Metana for working engineers who want to build reliable, production-grade AI system; not just use autocomplete. You'll learn to design structured LLM workflows, write evals, build agents, and ship AI-powered features that actually hold up in production. No theory, no fluff; every session is built around real code.
This program is for working developers frontend, backend, fullstack, DevOps, and ML engineers who already write code professionally.
The program is $2,000 (pilot launch price, down from $4,000). There are no upsells and no tiered access; every participant gets everything: all 4 weeks of live instruction, weekly office hours, assignment reviews, live on-demand support, a final project build clinic, and lifetime access to all templates, prompt libraries, and session recordings.
The curriculum covers Cursor, GitHub Copilot, Claude Code, ChatGPT, and MCP (Model Context Protocol). Beyond individual tools, you'll learn prompt engineering with structure and constraints, how to configure repo-level AI context, how to build and run evals, and how to create agents with scoped tool access and guardrails.
Most AI courses teach you what LLMs are. This program, by Metana, teaches you how to integrate them into real engineering workflows without creating review debt, silent failures, or production incidents. Every concept was built around one question: does this make a real engineer meaningfully better at their job? You leave with a documented, version-controlled, eval-backed AI system embedded in your actual workflow.
Yes; team enrollments are welcome. Cohorts are intentionally capped at 8 participants so everyone gets real feedback, not just a seat in a webinar.
Still have a question? Send us an email at [email protected]
